Dolphin's Deployment Architecture and Usage
The model is designed with multi-tiered deployment scenarios to accommodate different development scenarios:
- InstallationSupport standard pip install (pip install dataoceanai-dolphin) and source code compilation and installation of two modes, compatible with Python 3.8 + environment, requires FFmpeg as a basic component of audio processing
- hardware adaptation: Runs on normal CPU environment as well as GPU acceleration via CUDA, with simple parameter switching ('cuda'/'cpu') for optimal utilization of hardware resources.
- Model AcquisitionThe models in base and small sizes are distributed through the Hugging Face platform, and developers are free to choose the download and storage paths.
In practice, users can process audio files directly from the command line (dolphin audio.wav), or call high-level APIs in Python code to achieve fine-grained control, including specifying language regions, enabling speech fills, and other specialized features.
This answer comes from the articleDolphin: Asian Language Recognition and Speech-to-Text Modeling for Asian LanguagesThe
May not be reproduced without permission:AI productivity tools " Dolphin's deployment options provide developers with flexible technology choices
